CoolFace
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datasets

Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.

modalityAllTextImageAudioTabularVideo
taskAllText generationQuestion answeringImage classificationSpeech
sizeAllUnder 1K1K – 10K100K – 1M1M – 10M
formatAllParquetJSONCSVWebDataset
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01netryx-hub /moscow-1km-1km Moscow-1Km 1km Pre-computed MegaLoc index for Netryx Drishti geolocation. Coverage Center: 55.756900, 37.615100 Radius: 1.0 km Panoramas: 8,624 Index entries: 34,496 Descriptor model: MegaLoc Descriptor dim: 1024 (PCA from 8448) Usage from netryx_hub import NetryxHub hub = NetryxHub() hub.download("moscow-1km-1km", output_dir="./netryx_data/index") # Now open Netryx and search! Or download manually and use Import Index in the Netryx GUI. Details… See the full description on the dataset page: https://huggingface.co/datasets/netryx-hub/moscow-1km-1km.2 likes483 downloads6mo agoHugging Face02samsepiol4 /netryx-new-york-5km New York 5km Pre-computed MegaLoc index for Netryx Drishti geolocation. Coverage Center: 40.712800, -74.006000 Radius: 5.0 km Panoramas: 196,824 Index entries: 787,296 Descriptor model: MegaLoc Descriptor dim: 1024 (PCA from 8448) Usage from netryx_hub import NetryxHub hub = NetryxHub() hub.download("new-york-5km", output_dir="./netryx_data/index") # Now open Netryx and search! Or download manually and use Import Index in the Netryx GUI. Details… See the full description on the dataset page: https://huggingface.co/datasets/samsepiol4/netryx-new-york-5km.tabularn<1K0 likes455 downloads6mo agoHugging Face03samsepiol4 /netryx-new-york-city-13km Nyc-Core-Usethis 13km Pre-computed MegaLoc index for Netryx Drishti geolocation. Coverage Center: 40.713200, -74.002500 Radius: 13.0 km Panoramas: 663,084 Index entries: 2,652,336 Descriptor model: MegaLoc Descriptor dim: 1024 (PCA from 8448) Usage from netryx_hub import NetryxHub hub = NetryxHub() hub.download("nyc-core-usethis-13km", output_dir="./netryx_data/index") # Now open Netryx and search! Or download manually and use Import Index in… See the full description on the dataset page: https://huggingface.co/datasets/samsepiol4/netryx-new-york-city-13km.tabularn<1K0 likes451 downloads2mo agoHugging Face04samsepiol4 /netryx-newyoek-0km Newyoek 0km Pre-computed MegaLoc index for Netryx Drishti geolocation. Coverage Center: 40.712800, -74.006000 Radius: 0.5 km Panoramas: 17,835 Index entries: 71,340 Descriptor model: MegaLoc Descriptor dim: 1024 (PCA from 8448) Usage from netryx_hub import NetryxHub hub = NetryxHub() hub.download("newyoek-0km", output_dir="./netryx_data/index") # Now open Netryx and search! Or download manually and use Import Index in the Netryx GUI. Details… See the full description on the dataset page: https://huggingface.co/datasets/samsepiol4/netryx-newyoek-0km.0 likes445 downloads6mo agoHugging Face05samsepiol4 /netryx-delhi-mixvpr-5km Delhi 5km (MixVPR) Pre-computed MegaLoc index for Netryx Drishti geolocation. Coverage Center: 28.644800, 77.216721 Radius: 5.0 km Panoramas: 69,838 Index entries: 279,352 Descriptor model: MixVPR Descriptor dim: 512 (PCA from 512) Usage from netryx_hub import NetryxHub hub = NetryxHub() hub.download("delhi-5km-(mixvpr)", output_dir="./netryx_data/index") # Now open Netryx and search! Or download manually and use Import Index in the Netryx GUI.… See the full description on the dataset page: https://huggingface.co/datasets/samsepiol4/netryx-delhi-mixvpr-5km.tabularn<1K0 likes437 downloads2mo agoHugging Face06Patres1612 /netryx-newyoek-0kmtabularn<1K0 likes428 downloads2mo agoHugging Face07mdunlap /netryx-manhattan-15kmtabularn<1K0 likes427 downloads6mo agoHugging Face08Patres1612 /netryx-new-york-0kmtabularn<1K0 likes420 downloads2mo agoHugging Face09mralx67 /netryx-schwerin-50km0 likes11 downloads2mo agoHugging Face10mdunlap /netryx-manhattan-14km0 likes7 downloads6mo agoHugging Face

Listings come live from the Hugging Face Hub API. CoolFace does not host these files.